code: def backbone(backbone_name, dataset):
      if "BSDS" in dataset:
          dilation = [False, True, True]
      elif "NYUD" in dataset:
          dilation = [False, False, True]
  
      return_layers = {
          "relu": "feat1",
          "layer1": "feat2",
          "layer2": "feat3",
          "layer3": "feat4",
          "layer4": "feat5",
      }
  
      if backbone_name == "vgg":
          backbone = VGG()
  
      elif backbone_name == "resnet50":
          backbone = resnet50(
              pretrained=False, replace_stride_with_dilation=dilation
          )
          state_dict = load_state_dict_from_url(
              model_urls["resnet50"], progress=True
          )
          state_dict = rmBN_in_ResNet(state_dict)
          backbone.load_state_dict(state_dict)
          backbone = IntermediateLayerGetter(
              backbone, return_layers=return_layers
          )
  
      elif backbone_name == "resnet101":
          backbone = resnet101(
              pretrained=False, replace_stride_with_dilation=dilation
          )
          state_dict = load_state_dict_from_url(
              model_urls["resnet101"], progress=True
          )
          state_dict = rmBN_in_ResNet(state_dict)
          backbone.load_state_dict(state_dict)
          backbone = IntermediateLayerGetter(
              backbone, return_layers=return_layers
          )
  
      elif backbone_name == "resnext50":
          backbone = resnext50_32x4d(
              pretrained=False, replace_stride_with_dilation=dilation
          )
          state_dict = load_state_dict_from_url(
              model_urls["resnext50_32x4d"], progress=True
          )
          state_dict = rmBN_in_ResNet(state_dict)
          backbone.load_state_dict(state_dict)
          backbone = IntermediateLayerGetter(
              backbone, return_layers=return_layers
          )
  
      elif backbone_name == "resnext101":
          backbone = resnext101_32x8d(
              pretrained=False, replace_stride_with_dilation=dilation
          )
          state_dict = load_state_dict_from_url(
              model_urls["resnext101_32x8d"], progress=True
          )
          state_dict = rmBN_in_ResNet(state_dict)
          backbone.load_state_dict(state_dict)
          backbone = IntermediateLayerGetter(
              backbone, return_layers=return_layers
          )
  
      return backbone
  
imports: import torch
  import torch.nn
  from torchvision.models._utils import IntermediateLayerGetter
  from torch.hub import load_state_dict_from_url
  from torchvision.models.resnet import BasicBlock
label_desc: Use image node_id 9 for calling a global function with example usage: backbone(backbone_name, dataset) and returns: backbone